Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India

Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India

Abstract Background Machine learning (ML) algorithms have been successfully employed for prediction of outcomes in clinical research. In this study, we have explored the application of ML-based algorithms to predict cause of death (CoD) from verbal autopsy records available through the Million Death...

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Bibliographic Details
Main Authors: Susan Idicula-Thomas, Ulka Gawde, Prabhat Jha
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Public Health
Subjects:
Machine learning
Prediction model
Million Death Study
Verbal autopsy
Child mortality
Cause of death
Online Access:https://doi.org/10.1186/s12889-021-11829-y

Internet

https://doi.org/10.1186/s12889-021-11829-y

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